Green Coffee ESG Intelligence
Comparative Analysis of Four Coffee Origins Using Open Data
1 Executive Summary
This report benchmarks four coffee origins (Brazil, Colombia, Peru, Honduras) using open data indicators across:
- Production (FAOSTAT)
- Employment in agriculture (% total employment) (World Bank)
- Rural population growth (%) (World Bank)
- Gross capital formation (% GDP) (World Bank)
The purpose is to generate a transparent ESG-style sourcing signal.
2 Production
2.1 Production trends
4 Economic Capacity
4.1 Investment (% GDP)
5 ESG Composite Score
5.1 Score table (gt)
| ESG Composite Score | |||||
| 5-year normalized scoring model | |||||
| country | production_avg | employment_agri_avg | rural_growth_avg | investment_avg | esg_score |
|---|---|---|---|---|---|
| Brazil | 3321375.0 | 8.691919 | -1.4814180 | 17.29360 | 0.793 |
| Colombia | 715892.1 | 14.843260 | 0.1945019 | 18.21881 | 0.295 |
| Honduras | 364126.2 | 22.689150 | 0.5651233 | 22.98046 | 0.259 |
| Peru | 360096.6 | 26.113601 | -1.5766624 | 20.29532 | 0.256 |
6 Notes & Limitations
- This model is a benchmarking signal, not an ESG certification.
- Indicators are macro-level and do not capture farm-level realities.
- Results depend on data availability and the last 5-year window.
7 Next Steps
- Add environmental indicators (forest loss, emissions, water stress)
- Add governance proxies (rule of law, corruption perception)
- Build a sourcing recommendation layer
3 Social Indicators
3.1 Employment in agriculture
3.2 Rural population growth